code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
import requests
from bs4 import BeautifulSoup
set url = string https://comic.naver.com/webtoon/weekday
set res = get requests url
call raise_for_status
set soup = call BeautifulSoup text string lxml
comment 네이버 웹툰 전체 목록 가져오기
comment 클래스 속성이 title인 모든 'a' element
set cartoons = find all soup string a attrs=dict string c... | import requests
from bs4 import BeautifulSoup
url="https://comic.naver.com/webtoon/weekday"
res=requests.get(url)
res.raise_for_status()
soup=BeautifulSoup(res.text,"lxml")
#네이버 웹툰 전체 목록 가져오기
cartoons = soup.find_all("a",attrs={"class":"title"}) #클래스 속성이 title인 모든 'a' element
for cartoon in cartoons:
... | Python | zaydzuhri_stack_edu_python |
import json
from GetRestaurantsYelpAPI import getRestaurants
from yelp_scraper import scrapeYelp
from multiprocessing import Process
function scrape_for_url url id
begin
print string start scrapping for url + url
set scrape_data = call scrapeYelp url id
print scrape_data
with open string YelpData.txt string a+ as outfi... | import json
from GetRestaurantsYelpAPI import getRestaurants
from yelp_scraper import scrapeYelp
from multiprocessing import Process
def scrape_for_url(url,id):
print('start scrapping for url ' + url)
scrape_data = scrapeYelp(url,id)
print(scrape_data)
with open('YelpData.txt', 'a+') as outfile:
... | Python | zaydzuhri_stack_edu_python |
function get_size self
begin
return list _size
end function | def get_size(self):
return list(self._size) | Python | nomic_cornstack_python_v1 |
if nacho_price > cash
begin
print string Sorry, no ncahos for you!
end
if nacho_price < cash
begin
print string Woot, nachos!
end
if nacho_price == cash
begin
print string That sure was lucky!
end
print string Thanks for using nacho_buyer.py.
print string Welcome to the convenience store!
print string Enter your age:
s... | if nacho_price > cash:
print("Sorry, no ncahos for you!")
if nacho_price < cash:
print("Woot, nachos!")
if nacho_price == cash:
print("That sure was lucky!")
print("Thanks for using nacho_buyer.py.")
print("Welcome to the convenience store!")
print("Enter your age:")
age = input()
age = int(age)
if age >= 18:
... | Python | zaydzuhri_stack_edu_python |
class LinkedList
begin
function __init__ self value
begin
set value = value
set next = none
end function
function insert self value
begin
if next is none
begin
set next = call LinkedList value
end
else
begin
insert next value
end
end function
function show self
begin
print value
if next is not none
begin
show
end
end f... | class LinkedList():
def __init__(self, value):
self.value = value
self.next = None
def insert(self, value):
if self.next is None:
self.next = LinkedList(value)
else:
self.next.insert(value)
def show(self):
print(self.value)
if self.ne... | Python | zaydzuhri_stack_edu_python |
function population
begin
set pop_csv = read csv call csv_path string Population.csv index_col=0 dtype=dict string Population uint32
set pop_csv at string Population = as type pop_csv at string Population * POPULATION_SCALE string uint32
return pop_csv
end function | def population():
pop_csv = pd.read_csv(csv_path("Population.csv"),
index_col=0,
dtype={"Population": np.uint32})
pop_csv["Population"] = (pop_csv["Population"] * POPULATION_SCALE).astype("uint32")
return pop_csv | Python | nomic_cornstack_python_v1 |
function test01_math_operators self
begin
import _cppyy
set number = number
assert call number 20 + call number 10 == call number 30
assert call number 20 + 10 == call number 30
assert call number 20 - call number 10 == call number 10
assert call number 20 - 10 == call number 10
assert call number 20 / call number 10 =... | def test01_math_operators(self):
import _cppyy
number = _cppyy.gbl.number
assert (number(20) + number(10)) == number(30)
assert (number(20) + 10 ) == number(30)
assert (number(20) - number(10)) == number(10)
assert (number(20) - 10 ) == number(10)
... | Python | nomic_cornstack_python_v1 |
function test_PxC N=25
begin
if not with_cython
begin
return
end
set lon0 = 10
set lat0 = - 25
set Lon = 540 * random N - 180
set Lat = 90 * 2 * random N - 1
set tuple Lon Lat = call meshgrid Lon Lat
comment print("Testing scalar")
comment d = haversine(Lat[0, 0], Lon[0, 0], lat0, lon0)
comment c_d = c_haversine(Lat[0,... | def test_PxC(N=25):
if not with_cython:
return
lon0 = 10
lat0 = -25
Lon = 540*random(N) - 180
Lat = 90*(2*random(N)-1)
Lon, Lat = np.meshgrid(Lon, Lat)
#print("Testing scalar")
#d = haversine(Lat[0, 0], Lon[0, 0], lat0, lon0)
#c_d = c_haversine(Lat[0, 0], Lon[0, 0], lat0, ... | Python | nomic_cornstack_python_v1 |
function encrypt self message key
begin
set p = call from_bytes call _pad_message message call byte_size BYTE_ORDER
set c = call encrypt p
return call to_bytes call byte_size BYTE_ORDER
end function | def encrypt(self,
message: bytes,
key: Key) -> bytes:
p = int.from_bytes(self._pad_message(message, key.byte_size()), self.BYTE_ORDER)
c = key.encrypt(p)
return c.to_bytes(key.byte_size(), self.BYTE_ORDER) | Python | nomic_cornstack_python_v1 |
import numpy as np
from copy import deepcopy
import time
import resource
from collections import deque
from queue import PriorityQueue
from sys import argv
set max_depth = 0
set max_frontier = 0
set count = 0
class Node extends object
begin
function __init__ self state=none
begin
set state = state
set depth = 0
set par... | import numpy as np
from copy import deepcopy
import time
import resource
from collections import deque
from queue import PriorityQueue
from sys import argv
max_depth = 0
max_frontier = 0
count = 0
class Node(object):
def __init__(self, state = None):
self.state = state
self.depth = 0
self.... | Python | zaydzuhri_stack_edu_python |
comment Write a program that reads some lines containing votes: each line contains a name.
comment Have the program print the list of candidates in descending order of the number of votes received.
set s = string modi 10 rahul 0 mamta 8 lalu 6 modi 8
set m = 0
set r = 0
set ma = 0
set l = 0
set x = list
for i in split... | #Write a program that reads some lines containing votes: each line contains a name.
#Have the program print the list of candidates in descending order of the number of votes received.
s="""modi 10
rahul 0
mamta 8
lalu 6
modi 8"""
m=0
r=0
ma=0
l=0
x=[]
for i in s.split("\n"):
if 'modi' in i:
... | Python | zaydzuhri_stack_edu_python |
function entry entry fhandle
begin
import time
set timestamp = string format time time string %H:%M:%S
end function | def entry(entry,fhandle):
import time
timestamp = time.strftime('%H:%M:%S') | Python | nomic_cornstack_python_v1 |
function attach self observer
begin
string Attach an observer. Args: observer (func): A function to be called when new messages arrive Returns: :class:`Stream`. Current instance to allow chaining
if not observer in _observers
begin
append _observers observer
end
return self
end function | def attach(self, observer):
""" Attach an observer.
Args:
observer (func): A function to be called when new messages arrive
Returns:
:class:`Stream`. Current instance to allow chaining
"""
if not observer in self._observers:
self._observers.a... | Python | jtatman_500k |
function df_group_accupancy_by_column df col func target_col
begin
set df = call aggregate func
return tuple index df at target_col
end function | def df_group_accupancy_by_column(df, col, func, target_col):
df = df.groupby(col).aggregate(func)
return df.index, df[target_col] | Python | nomic_cornstack_python_v1 |
comment -------------------------------------------------------------------------------
comment Sherif Sarhan
comment This is a simple program to output the word count of a file.
comment -------------------------------------------------------------------------------
function parse_document filename
begin
comment Opens ... | #-------------------------------------------------------------------------------
# Sherif Sarhan
# This is a simple program to output the word count of a file.
#-------------------------------------------------------------------------------
def parse_document(filename):
#Opens file with read param
file = open(filenam... | Python | zaydzuhri_stack_edu_python |
function resume workflow_id storage=none
begin
assert call is_initialized
return call resume workflow_id storage
end function | def resume(workflow_id: str,
storage: "Optional[Union[str, Storage]]" = None) -> ray.ObjectRef:
assert ray.is_initialized()
return execution.resume(workflow_id, storage) | Python | nomic_cornstack_python_v1 |
function __eq__ self other
begin
if is instance self __class__
begin
return __dict__ == __dict__
end
return false
end function | def __eq__(self, other):
if isinstance(self, other.__class__):
return self.__dict__ == other.__dict__
return False | Python | nomic_cornstack_python_v1 |
from PyQt5 import QtCore , QtWidgets
from PyQt5.QtGui import QPixmap
import random
from solver import AStar
import time
class Tiles
begin
function __init__ self gridlen
begin
string Initializes the tiles. Tile order will be represented as a single list of numbers as strings and "*" as the empty tile. As an example, the... | from PyQt5 import QtCore, QtWidgets
from PyQt5.QtGui import QPixmap
import random
from solver import AStar
import time
class Tiles():
def __init__(self, gridlen):
"""Initializes the tiles. Tile order will be represented as
a single list of numbers as strings and "*" as the empty tile.
... | Python | zaydzuhri_stack_edu_python |
from PyQt5 import QtWidgets , QtGui
from PyQt5.QtCore import QRect , Qt
from PyQt5.QtGui import QPen , QBrush , QColor
function get_color color
begin
set tuple r g b = tuple max 0 - color max 0 color 0
return call QColor r * 255 g * 255 b * 255
end function
class NeuralNetworkViewer extends QMainWindow
begin
function _... | from PyQt5 import QtWidgets, QtGui
from PyQt5.QtCore import QRect, Qt
from PyQt5.QtGui import QPen, QBrush, QColor
def get_color(color):
r, g, b = max(0, -color), max(0, color), 0
return QColor(r * 255, g * 255, b * 255)
class NeuralNetworkViewer(QtWidgets.QMainWindow):
def __init__(self, network=None, ... | Python | zaydzuhri_stack_edu_python |
function play_card self table_cards player
begin
set cards = list comprehension card for played_card in table_cards
set is_allowed_card = false
set generator = call choose_card state=call get_status
set chosen_card = next generator
while not is_allowed_card
begin
set is_allowed_card = call card_allowed table_cards=card... | def play_card(self, table_cards, player):
cards = [played_card.card for played_card in table_cards]
is_allowed_card = False
generator = player.choose_card(state=self.get_status())
chosen_card = next(generator)
while not is_allowed_card:
is_allowed_card = card_allowed(... | Python | nomic_cornstack_python_v1 |
import os
set list_path = list string C:\Windows\Prefetch string C:\Windows\Temp call getenv string temp
function clear_data locate
begin
for tuple raiz diretorios arquivos in walk locate
begin
for arquivo in arquivos
begin
try
begin
remove os join path raiz arquivo
end
except any
begin
print arquivo + string Erro
end
... | import os
list_path = ['C:\Windows\Prefetch','C:\Windows\Temp', os.getenv('temp')]
def clear_data(locate):
for raiz, diretorios, arquivos in os.walk(locate):
for arquivo in arquivos:
try:
os.remove(os.path.join(raiz, arquivo))
except:
print(arquivo + ' Erro')
for i in list_path:
clear_data(i)
... | Python | zaydzuhri_stack_edu_python |
from sklearn.datasets import fetch_20newsgroups
from sklearn.feature_extraction.text import CountVectorizer , TfidfVectorizer
from sklearn import metrics
from sklearn.svm import SVC
set clf = support vector classifier kernel=string linear
set twenty_train = call fetch_20newsgroups subset=string train shuffle=true
set t... | from sklearn.datasets import fetch_20newsgroups
from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer
from sklearn import metrics
from sklearn.svm import SVC
clf = SVC(kernel='linear')
twenty_train = fetch_20newsgroups(subset='train', shuffle=True)
twenty_test = fetch_20newsgroups(subset='test'... | Python | zaydzuhri_stack_edu_python |
import urllib.request
from bs4 import BeautifulSoup
import requests
set url = string https://example.com
set response = get requests url
set soup = call BeautifulSoup text string html.parser
set images = find all soup string img
comment Let me run it for you!
for tuple i img in enumerate images
begin
url retrieve img a... | import urllib.request
from bs4 import BeautifulSoup
import requests
url = 'https://example.com'
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
images = soup.find_all('img')
# Let me run it for you!
for i, img in enumerate(images):
urllib.request.urlretrieve(img['src'], f'image{i}.... | Python | flytech_python_25k |
function sum_of_squares arr
begin
set even_nums = list
set odd_count = 0
if length arr == 0
begin
return tuple 0 0 list
end
if arr at 0 % 2 == 0
begin
append even_nums arr at 0
set even_sum = arr at 0 ^ 2
set odd_count = 0
end
else
begin
set even_sum = 0
set odd_count = 1
end
set tuple sub_even_sum sub_odd_count sub_... | def sum_of_squares(arr):
even_nums = []
odd_count = 0
if len(arr) == 0:
return 0, 0, []
if arr[0] % 2 == 0:
even_nums.append(arr[0])
even_sum = arr[0]**2
odd_count = 0
else:
even_sum = 0
odd_count = 1
sub_even_sum, sub_odd_count, sub_even_nums =... | Python | greatdarklord_python_dataset |
function to_str data
begin
string Takes an input str or bytes object and returns an equivalent str object. :param data: Input data :type data: str or bytes :returns: Data normalized to str :rtype: str
if is instance data bytes
begin
return decode codecs data TEXT_ENCODING
end
return data
end function | def to_str(data):
"""Takes an input str or bytes object and returns an equivalent str object.
:param data: Input data
:type data: str or bytes
:returns: Data normalized to str
:rtype: str
"""
if isinstance(data, bytes):
return codecs.decode(data, TEXT_ENCODING)
return data | Python | jtatman_500k |
set a = 5
set b = 12
set c = 10
set Volume = a * b * c
print Volume
set SurfaceArea = 2 * a * b + b * c + a * c
print SurfaceArea | a = 5
b = 12
c = 10
Volume = a * b * c
print(Volume)
SurfaceArea = 2 * (a*b + b*c + a*c)
print(SurfaceArea) | Python | zaydzuhri_stack_edu_python |
function client_request_access_token
begin
call clear_current_request
call inject_new_request
set payload = call DTO sub=200 auth=string test
set access_token = call generate_access_token payload
set refresh_token = call generate_refresh_token payload
call set_access_token access_token
call set_refresh_token refresh_to... | def client_request_access_token():
test_session_services.clear_current_request()
test_session_services.inject_new_request()
payload = DTO(sub=200, auth='test')
access_token = token_services.generate_access_token(payload)
refresh_token = token_services.generate_refresh_token(payload)
test_sessio... | Python | nomic_cornstack_python_v1 |
function is_conditional
begin
raise NotImplementedError
end function | def is_conditional():
raise NotImplementedError | Python | nomic_cornstack_python_v1 |
from fst import FST , ACCEPT_SYMBOL
import itertools
from random import sample , choice
set INTERSECT = string INTERSECT
set UNION = string UNION
class FSTools
begin
function __init__ self
begin
pass
end function
function _merge_fst self list_fst op=INTERSECT
begin
comment given list of fst [ Q, R, T ]
comment new stat... | from fst import FST, ACCEPT_SYMBOL
import itertools
from random import sample, choice
INTERSECT = "INTERSECT"
UNION = "UNION"
class FSTools:
def __init__(self):
pass
def _merge_fst(self, list_fst, op=INTERSECT):
# given list of fst [ Q, R, T ]
# new states are [ ... (qi, rj, tk) ...]
... | Python | zaydzuhri_stack_edu_python |
function array123 nums
begin
for i in range length nums - 2
begin
if tuple nums at i nums at i + 1 nums at i + 2 == tuple 1 2 3
begin
return true
end
end
return false
end function | def array123(nums):
for i in range(len(nums)-2):
if (nums[i], nums[i+1], nums[i+2]) == (1, 2, 3):
return True
return False
| Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
import sys
import os
import os.path
import pwd
import subprocess
import multiprocessing
import logging
import time
class CreateNewVNCServer extends Process
begin
function __init__ self name username display_number display_name geometry pixelformat
begin
call __init__ name=name
set log = ca... | #!/usr/bin/env python3
import sys
import os
import os.path
import pwd
import subprocess
import multiprocessing
import logging
import time
class CreateNewVNCServer(multiprocessing.Process):
def __init__(self, name, username, display_number, display_name, geometry, pixelformat):
super().__init__(name=name)... | Python | zaydzuhri_stack_edu_python |
function test_singular_vs_multiprocess_parse_dls self
begin
comment Parse with multiprocessing and store table entry count
set multi_params = length call test_multiprocess_parse_dls
comment Parse again with a single process and store table entry count
set singular_params = length call _single_process_parse_dls param_mo... | def test_singular_vs_multiprocess_parse_dls(self):
# Parse with multiprocessing and store table entry count
multi_params = len(self.test_multiprocess_parse_dls())
# Parse again with a single process and store table entry count
singular_params = \
len(self._single_process_par... | Python | nomic_cornstack_python_v1 |
comment %%
comment Imports ##########
import torch as torch
import torch.nn as nn
import torchvision
from torchvision import datasets , models , transforms
import torch.optim as optim
import numpy as np
import matplotlib.pyplot as plt
import time
import os
import copy
from alexnet import AlexNet
from vgg import VGG , v... | #%%
########## Imports ##########
import torch as torch
import torch.nn as nn
import torchvision
from torchvision import datasets, models, transforms
import torch.optim as optim
import numpy as np
import matplotlib.pyplot as plt
import time
import os
import copy
from alexnet import AlexNet
from vgg import VGG, vgg13
... | Python | zaydzuhri_stack_edu_python |
function limit_color_value data
begin
return integer data > 255
end function | def limit_color_value(data):
return int(data) > 255 | Python | nomic_cornstack_python_v1 |
import numpy as np
from matplotlib import pyplot as plt
import scipy.stats
from scipy.optimize import fmin_cobyla
from scipy.optimize import fmin
import math
from multiprocessing import Pool
import time
import sys
call setrecursionlimit 1000000
string Calibration Functions
comment https://stats.stackexchange.com/questi... | import numpy as np
from matplotlib import pyplot as plt
import scipy.stats
from scipy.optimize import fmin_cobyla
from scipy.optimize import fmin
import math
from multiprocessing import Pool
import time
import sys
sys.setrecursionlimit(1000000)
""" Calibration Functions"""
# https://stats.stackexchange.com/question... | Python | zaydzuhri_stack_edu_python |
function __init__ __self__ http_proxy=none https_proxy=none no_proxy=none
begin
if http_proxy is not none
begin
set __self__ string http_proxy http_proxy
end
if https_proxy is not none
begin
set __self__ string https_proxy https_proxy
end
if no_proxy is not none
begin
set __self__ string no_proxy no_proxy
end
end funct... | def __init__(__self__, *,
http_proxy: Optional[pulumi.Input[str]] = None,
https_proxy: Optional[pulumi.Input[str]] = None,
no_proxy: Optional[pulumi.Input[str]] = None):
if http_proxy is not None:
pulumi.set(__self__, "http_proxy", http_proxy)
... | Python | nomic_cornstack_python_v1 |
import subprocess
import re
comment Copies the tiles in the s3 folder to the spot machine
function s3_to_spot folder
begin
set dld = list string aws string s3 string cp folder string . string --recursive
check call dld
end function
comment Gets the tile id from the full tile name using a regular expression
function get... | import subprocess
import re
# Copies the tiles in the s3 folder to the spot machine
def s3_to_spot(folder):
dld = ['aws', 's3', 'cp', folder, '.', '--recursive']
subprocess.check_call(dld)
# Gets the tile id from the full tile name using a regular expression
def get_tile_id(tile_name):
# based on http... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
string Created on Thu Jul 12 14:50:55 2018 @author: amit
from datetime import *
import time
set t1 = string parse time call ctime string %a %b %d %H:%M:%S %Y
if hour >= 19 or hour <= 5
begin
print string Night
end
else
begin
print string Day
end | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Jul 12 14:50:55 2018
@author: amit
"""
from datetime import *
import time
t1 = datetime.strptime(time.ctime(),'%a %b %d %H:%M:%S %Y')
if t1.hour >= 19 or t1.hour <= 5:
print("Night")
else:
print("Day") | Python | zaydzuhri_stack_edu_python |
from unittest import TestCase
from unittest.mock import patch
from A2.dungeonsanddragons import choose_attack
class TestChoose_attack extends TestCase
begin
decorator patch string random.choice side_effect=list string kitty string puppy string otter string longsword string AK-47 string thermonuclear device
function tes... | from unittest import TestCase
from unittest.mock import patch
from A2.dungeonsanddragons import choose_attack
class TestChoose_attack(TestCase):
@patch('random.choice', side_effect=['kitty', 'puppy', 'otter', 'longsword', 'AK-47', 'thermonuclear device'])
def test_choose_monster_attack(self, mock_choice):
... | Python | zaydzuhri_stack_edu_python |
function set_open_kernal_x self open_kernel_x
begin
set open_kernel_x = call _passed_to_int open_kernel_x
end function | def set_open_kernal_x(self, open_kernel_x):
self.open_kernel_x = self._passed_to_int(open_kernel_x) | Python | nomic_cornstack_python_v1 |
function solution S
begin
set A = list
for i in range length S
begin
if S at i == string {
begin
append A string }
end
if S at i == string [
begin
append A string ]
end
if S at i == string (
begin
append A string )
end
if S at i == string } or S at i == string ] or S at i == string )
begin
if length A == 0
begin
retur... | def solution(S):
A = []
for i in range(len(S)):
if S[i] == '{':
A.append('}')
if S[i] == '[':
A.append(']')
if S[i] == '(':
A.append(')')
if S[i] == '}' or S[i] == ']' or S[i] == ')':
if len(A) == 0:
return 0
... | Python | zaydzuhri_stack_edu_python |
function get_total_divisors number
begin
if number <= 2
begin
return number
end
try
begin
set d = saved_divisors at number
return d
end
except any
begin
set a = square root number
set array = list range 1 integer a
set div = filter lambda x -> number % x == 0 array
set total_divisors = length div * 2
set saved_divisors... | def get_total_divisors(number):
if number <= 2:
return number
try:
d = saved_divisors[number]
return d
except:
a = math.sqrt(number)
array = list(range(1,int(a)))
div = filter(lambda x: number%x == 0, array)
total_divisors = len(div) * 2
saved_... | Python | nomic_cornstack_python_v1 |
import os
import speech_recognition as sr
import playsound
from gtts import gTTS
import getpass
import time
import wolframalpha
import webbrowser
from selenium import webdriver
set num = 1
function assistant_speaks output
begin
global num
set num = num + 1
comment print("Rookie : ", output)
set toSpeak = call gTTS text... | import os
import speech_recognition as sr
import playsound
from gtts import gTTS
import getpass
import time
import wolframalpha
import webbrowser
from selenium import webdriver
num = 1
def assistant_speaks(output):
global num
num += 1
#print("Rookie : ", output)
toSpeak = gTTS(text = output, lang ='en', sl... | Python | zaydzuhri_stack_edu_python |
function preffered_channel_select_list2 self selected_field selected_list_state selected_list_id is_readonly select_list_initial_msg
begin
comment this dictionary is used to store the name and value of select list
set preffered_channel_list_name_value_dic = dict
append set default preffered_channel_list_name_value_dic... | def preffered_channel_select_list2(self, selected_field, selected_list_state, selected_list_id, is_readonly, select_list_initial_msg):
# this dictionary is used to store the name and value of select list
preffered_channel_list_name_value_dic = {}
preffered_channel_list_name_value_dic.setdefault... | Python | nomic_cornstack_python_v1 |
comment group 1 | group 2 | group 3
comment ---------------------------
comment group 4 | group 5 | group 6
comment ---------------------------
comment group 7 | group 8 | group 9
comment Setup board #############
set row_1 = list set list 7 set list 1 2 3 4 5 6 7 8 9 set list 1 2 3 4 5 6 7 8 9 set list 1 set list 1 2 ... | # group 1 | group 2 | group 3
# ---------------------------
# group 4 | group 5 | group 6
# ---------------------------
# group 7 | group 8 | group 9
############# Setup board #############
row_1 = [set([7]), set([1, 2, 3, 4, 5, 6, 7, 8, 9]), set([1, 2, 3, 4, 5, 6, 7, 8, 9]), set([1]), set([1, 2, 3, 4, 5, 6, 7, 8, 9])... | Python | zaydzuhri_stack_edu_python |
function __init__ self gtfFile lineNumber
begin
set lineNumber = lineNumber
set gtfFile = gtfFile
comment -2 remove ';\n'
set data = split lines at lineNumber at slice : - 2 : string
set proto_atts = split strip data at legend at string attributes string ;
set atts = dict
for a in proto_atts
begin
set sa = split a s... | def __init__(self, gtfFile, lineNumber) :
self.lineNumber = lineNumber
self.gtfFile = gtfFile
self.data = gtfFile.lines[lineNumber][:-2].split('\t') #-2 remove ';\n'
proto_atts = self.data[gtfFile.legend['attributes']].strip().split('; ')
atts = {}
for a in proto... | Python | nomic_cornstack_python_v1 |
comment get a bot playable in the regular engine from weights.
import shutil , json
from robot import Robot
set epoch = input string Epoch?
set bot = 0
if string / in epoch
begin
set tuple epoch bot = split epoch1 string /
set bot = integer bot
end
with open string saved_weights/epoch { epoch } .json as f
begin
set wei... | # get a bot playable in the regular engine from weights.
import shutil, json
from robot import Robot
epoch = input("Epoch? ")
bot = 0
if "/" in epoch:
epoch, bot = epoch1.split("/")
bot = int(bot)
with open(f"saved_weights/epoch{epoch}.json") as f:
weights = json.load(f)[bot]
name = input("Name? ")
r ... | Python | zaydzuhri_stack_edu_python |
function myadd a n=10 *d **args
begin
if a <= 0
begin
return 0
end
else
begin
set sum = 0
for i in range 1 n + 1
begin
set sum = sum + a
end
print string sum
end
return tuple a n d args
end function | def myadd(a,n=10,*d,**args):
if a<=0: return 0
else:
sum = 0
for i in range(1,n+1):
sum = sum + a
print("sum")
return a,n,d,args | Python | nomic_cornstack_python_v1 |
function __init__ self config_file_path module_output_dir
begin
comment Initial settings
set config_path = config_file_path
comment Ouput directory (Should be created outside of the constructor)
set module_output_dir = module_output_dir
comment Local count on the number of safe trajectories generated
set safe_trajs_gen... | def __init__(self, config_file_path, module_output_dir):
# Initial settings
self.config_path = config_file_path
# Ouput directory (Should be created outside of the constructor)
self.module_output_dir = module_output_dir
# Local count on the number of safe trajectories generated
self.safe_trajs_generated ... | Python | nomic_cornstack_python_v1 |
function target_spot_capacity self
begin
return get pulumi self string target_spot_capacity
end function | def target_spot_capacity(self) -> Optional[pulumi.Input[int]]:
return pulumi.get(self, "target_spot_capacity") | Python | nomic_cornstack_python_v1 |
import torch
import torch.nn as nn
import math
class Gaussian extends object
begin
string Gaussian distribution to act as pior distribution for variational inference
function __init__ self mu rho
begin
set mu = mu
set rho = rho
set normal = call Normal 0 1
end function
decorator property
function sigma self
begin
retur... | import torch
import torch.nn as nn
import math
class Gaussian(object):
"""Gaussian distribution to act as pior distribution for variational
inference"""
def __init__(self, mu, rho):
self.mu = mu
self.rho = rho
self.normal = torch.distributions.Normal(0, 1)
@property
def s... | Python | zaydzuhri_stack_edu_python |
comment keras-010 #3-A [Validation Percentage]
comment train_test_split을 2번 했을 때 어떻게 나뉘는지 보기 위한 예제
from icecream import ic
import numpy as np
from sklearn.model_selection import train_test_split
set x = array range 1 101
set y = array range 1 101
set tuple x_train x_test y_train y_test = train test split x y test_size=... | # keras-010 #3-A [Validation Percentage]
# train_test_split을 2번 했을 때 어떻게 나뉘는지 보기 위한 예제
from icecream import ic
import numpy as np
from sklearn.model_selection import train_test_split
x = np.array(range(1, 101))
y = np.array(range(1, 101))
x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.2, s... | Python | zaydzuhri_stack_edu_python |
comment while倒序打印字符
function search_show text
begin
set i = length text - 1
while i >= 0
begin
print text at i
set i = i - 1
end
end function
comment for倒序打印字符
function search_show_for1 text
begin
for i in range length text
begin
set j = length text - i
print text at j - 1
end
end function
comment while正序打印字符
function ... | # while倒序打印字符
def search_show(text):
i = len(text)-1
while i >= 0:
print(text[i])
i = i - 1
# for倒序打印字符
def search_show_for1(text):
for i in range(len(text)):
j = len(text)-i
print(text[j-1])
# while正序打印字符
def search_show2(text):
i = 0
while i < len(text):
... | Python | zaydzuhri_stack_edu_python |
function extract_fea_for_datagroup self data_group mode=string train
begin
if mode == string train
begin
set fp = open train_path string r
end
else
begin
set fp = open test_path string r
end
for tuple i line in call tqdm enumerate fp
begin
set tuple audio_name label = split line
set audio_path = join path dev_path audi... | def extract_fea_for_datagroup(self, data_group, mode='train'):
if mode == 'train':
fp = open(self.train_path, 'r')
else:
fp = open(self.test_path, 'r')
for i, line in tqdm(enumerate(fp)):
audio_name, label = line.split()
audio_path = os.path.join(... | Python | nomic_cornstack_python_v1 |
function post self
begin
set parser = call RequestParser
call add_argument string email location=string json required=true help=string Your input email is invalid
call add_argument string new_password location=string json required=true help=string Your input password is invalid
set args = call parse_args
set pattern = ... | def post(self):
parser = reqparse.RequestParser()
parser.add_argument('email', location='json', required=True, help = "Your input email is invalid")
parser.add_argument('new_password', location='json', required=True, help = "Your input password is invalid")
args = parser.parse_args()
... | Python | nomic_cornstack_python_v1 |
import os
import random
import time
import argparse
import FuzzyCMeans
import pandas as pd
import numpy as np
import logging
function log_val out_path cluster_scores
begin
set column_labels = list string File *list(range(2, 11)) * 2
set df = call DataFrame cluster_scores columns=column_labels
to csv df path_or_buf=out_... | import os
import random
import time
import argparse
import FuzzyCMeans
import pandas as pd
import numpy as np
import logging
def log_val(out_path, cluster_scores):
column_labels = ["File", *list(range(2, 11))*2]
df = pd.DataFrame(cluster_scores, columns=column_labels)
df.to_csv(path_or_buf=out_path, inde... | Python | zaydzuhri_stack_edu_python |
string Class example
import re
import time
import logging
import ConfigParser
from crontab import CronTab
from job import Job
set LOGGER = call getLogger __name__
set CONFIG = config parser
read CONFIG string siecle.cfg
class Scheduler extends object
begin
string CLI class
function __init__ self _crontab=none
begin
str... | """Class example"""
import re
import time
import logging
import ConfigParser
from crontab import CronTab
from .job import Job
LOGGER = logging.getLogger(__name__)
CONFIG = ConfigParser.ConfigParser()
CONFIG.read("siecle.cfg")
class Scheduler(object):
"""CLI class"""
def __init__(self, _crontab = None):
... | Python | zaydzuhri_stack_edu_python |
from __future__ import print_function
import numpy as np
from sklearn.metrics import f1_score
import warnings
import matplotlib.pyplot as plt
filter warnings string ignore
class RegularizedLogisticRegression
begin
function __init__ self learning_rate=0.001 reg_factor=0.01 rand_seed=none
begin
set learning_rate = learni... | from __future__ import print_function
import numpy as np
from sklearn.metrics import f1_score
import warnings
import matplotlib.pyplot as plt
warnings.filterwarnings("ignore")
class RegularizedLogisticRegression:
def __init__(self,learning_rate=0.001,reg_factor=0.01,rand_seed=None):
self.learning_rate = learnin... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Created on Tue Jan 17 18:43:01 2017 @author: nimselsa
function words s
begin
set word_string = split s
set word_dict = dict
for word in word_string
begin
if call isnumber
begin
set word = integer word
end
if word in word_dict
begin
set word_dict at word = word_dict at word + 1
end
... | # -*- coding: utf-8 -*-
"""
Created on Tue Jan 17 18:43:01 2017
@author: nimselsa
"""
def words(s):
word_string = s.split()
word_dict={}
for word in word_string:
if word.isnumber():
word = int(word)
if word in word_dict:
word_dict[word]+= 1
else:
... | Python | zaydzuhri_stack_edu_python |
import socket
import sys
import time
import random
set CHUNK_SIZE = 4096 | import socket
import sys
import time
import random
CHUNK_SIZE = 4096 | Python | zaydzuhri_stack_edu_python |
import pygame
from numpy import linalg , matrix , array
import graphics
set font = call SysFont string Droif Serif 20
set info_c = list 255 100 55
class TopBar extends object
begin
string This class involves a couple of pieces of information box that flashes messages including 'evade', 'extinction', etc. text for previ... | import pygame
from numpy import linalg, matrix, array
import graphics
font = pygame.font.SysFont("Droif Serif", 20)
info_c = [255,100,55]
class TopBar(object):
'''This class involves a couple of pieces of information
box that flashes messages including 'evade', 'extinction', etc.
text for previous lifespans
grap... | Python | zaydzuhri_stack_edu_python |
function get_timeseries rics fields=string * start_date=none end_date=none interval=string daily count=none calendar=none corax=none normalize=false raw_output=false debug=false
begin
set logger = logger
comment set the ric(s) in the payload
call check_for_string_or_list_of_strings rics string rics
if call is_string_ty... | def get_timeseries(rics, fields='*', start_date=None, end_date=None,
interval='daily', count=None,
calendar=None, corax=None, normalize=False, raw_output=False, debug=False):
logger = eikon.Profile.get_profile().logger
# set the ric(s) in the payload
check_for_string_... | Python | nomic_cornstack_python_v1 |
set ladoa = integer input string digite o valor do primeiro lado:
set ladob = integer input string digite o valor do segundo lado:
set ladoc = integer input string digite o valor do terceiro lado:
if ladoa * ladoa + ladob * ladob == ladoc * ladoc
begin
print string Isso e um triangulo retangulo
end
else
if ladoa * lado... | ladoa = int(input('digite o valor do primeiro lado: '))
ladob = int(input('digite o valor do segundo lado: '))
ladoc = int(input('digite o valor do terceiro lado: '))
if(((ladoa*ladoa)+(ladob*ladob))==(ladoc*ladoc)):
print("Isso e um triangulo retangulo")
elif(((ladoa*ladoa)+(ladoc*ladoc))==(ladob*ladob)):
... | Python | zaydzuhri_stack_edu_python |
function _build self lr_schedule
begin
set pi_head = to call MLP input_dim=feat_dim layer_dims=net_arch at string pi act_fn=act_fn device
set vf_head = to call MLP input_dim=vf_feat_dim layer_dims=net_arch at string vf act_fn=act_fn device
if is instance action_dist DiagGaussianDistribution
begin
set tuple action_net l... | def _build(self, lr_schedule: Schedule) -> None:
self.pi_head = MLP(input_dim=self.feat_dim,
layer_dims=self.net_arch['pi'],
act_fn=self.act_fn).to(self.device)
self.vf_head = MLP(input_dim=self.vf_feat_dim,
layer_dims=sel... | Python | nomic_cornstack_python_v1 |
import threading
class CrawlThread extends Thread
begin
function __init__ self c progress_bar
begin
call __init__ self
set crawler = c
set progress_bar = progress_bar
end function
function run self
begin
while numberOfVisitedPage < n and length queue > 0
begin
acquire lockQueue
set currentURL = pop queue 0
release lock... | import threading
class CrawlThread(threading.Thread):
def __init__(self, c, progress_bar):
threading.Thread.__init__(self)
self.crawler = c
self.progress_bar = progress_bar
def run(self):
while self.crawler.numberOfVisitedPage < self.crawler.n and len(self.crawler.queue) > 0:
... | Python | zaydzuhri_stack_edu_python |
string This file was a first pass at developing an algorithm for calculating minimum Starbucks distance with better than n^2 efficiency. The idea was to use the concept of quadtrees (see here: https://en.wikipedia.org/wiki/Quadtree). The original plan was as follows: -- Create a lat/long grid by using the min/max lat/l... | '''
This file was a first pass at developing an algorithm for calculating minimum
Starbucks distance with better than n^2 efficiency.
The idea was to use the concept of quadtrees (see here: https://en.wikipedia.org/wiki/Quadtree).
The original plan was as follows:
-- Create a lat/long grid by using the min/max lat/l... | Python | zaydzuhri_stack_edu_python |
function convert_to_digits str_input seed len_out
begin
set s = string
set i = 0
while i < len_out
begin
set m = search str_input i
if not m
begin
break
end
set j = start m - i
if j > 0
begin
set s = s + str_input at slice i : i + j :
end
set s = s + character seed + ordinal str_input at i % 10 + 48
set i = i + j + 1... | def convert_to_digits(str_input, seed, len_out):
s = ''
i = 0
while i < len_out:
m = RE_NON_NUMERIC.search(str_input, i)
if not m:
break
j = m.start() - i
if j > 0:
s += str_input[i: i + j]
s += chr((seed + ord(str_input[i])) % 10 + 48)
... | Python | nomic_cornstack_python_v1 |
function ask_for_reject self average_index
begin
set reject = get get get get org string Calibration dict string Analysis dict string AuxValues dict string RejectIndex list
set text = input string Do you want to keep the current set of rejected data points with indices: + string reject + string (type enter if ok)?
if t... | def ask_for_reject(self, average_index):
reject = self.org.get('Calibration', {}).get('Analysis', {}).get('AuxValues', {}).get('RejectIndex', [])
text = input("Do you want to keep the current set of rejected data points with indices: " + str(reject) + " (type enter if ok)? ")
if text != "":
... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python2
function factorial num
begin
if num == 1
begin
return num
end
else
begin
return num * call factorial num - 1
end
end function
set num = input string enter number
if num < 0
begin
print string fact cannt be of negative number
end
else
if num == 0
begin
print string fact is 1
end
else
begin
prin... | #!/usr/bin/python2
def factorial(num):
if num==1:
return num
else:
return num*factorial(num-1)
num=input("enter number")
if num<0:
print("fact cannt be of negative number")
elif num==0:
print("fact is 1")
else :
print("factorial of givn number is" , factorial(num))
| Python | zaydzuhri_stack_edu_python |
function _responds_html response
begin
call responds_http_status 200
call responds_content_type string text/html
end function
comment TODO: delayed HTML validation
comment response.responds_with_valid_html()
comment todo: links responds_with_valid_links | def _responds_html(response):
response.responds_http_status(200)
response.responds_content_type('text/html')
# TODO: delayed HTML validation
# response.responds_with_valid_html()
# todo: links responds_with_valid_links | Python | nomic_cornstack_python_v1 |
function __getattr__ self attr
begin
if attr in NP_OVERLOAD
begin
set ufunc = call __getattribute__ attr
function func
begin
return call _new_func lambda x -> call ufunc call _eval x
end function
set __name__ = attr
set __doc__ = format string wraps numpy ufunc: {} attr
return func
end
return call __getattribute__ attr... | def __getattr__(self,attr):
if attr in NP_OVERLOAD:
ufunc = np.__getattribute__(attr)
def func():
return self._new_func( lambda x: ufunc( self._eval(x) ) )
func.__name__ = attr
func.__doc__ = "wraps numpy ufunc: {}".format(attr)
return... | Python | nomic_cornstack_python_v1 |
function log_like_iid_gamma_log_params params t
begin
set tuple alpha b = params
if alpha <= 0 or b <= 0
begin
return - inf
end
return sum call logpdf t alpha scale=1 / b
end function | def log_like_iid_gamma_log_params(params, t):
alpha, b = params
if(alpha <= 0 or b <= 0):
return -np.inf
return np.sum(st.gamma.logpdf(t, alpha, scale = 1/b)) | Python | nomic_cornstack_python_v1 |
comment Author: Ronak
from classes.issue import Issue
from datetime import datetime
function create_issue db user_id
begin
set issue = input string Type in your issue:
set issue = call Issue user_id issue
set result = insert db string ISSUE issue
if result is not false
begin
print string Issue saved...
end
end function... | # Author: Ronak
from classes.issue import Issue
from datetime import datetime
def create_issue(db, user_id):
issue = input("Type in your issue: ")
issue = Issue(user_id, issue)
result = insert(db, "ISSUE", issue)
if (result is not False):
print("Issue saved...")
def insert(db, table_name, ... | Python | zaydzuhri_stack_edu_python |
import pytest
from datetime import datetime
from decimal import Decimal
from credit_card.utils import RecordTranslator
from credit_card.models import CreditCardRecord
decorator fixture
function csv_row
begin
return b'2015-07-27,,IOF de "Tjmaxx $0142 Norwell Ma",14.05\n'
end function
decorator fixture
function invalid_c... | import pytest
from datetime import datetime
from decimal import Decimal
from credit_card.utils import RecordTranslator
from credit_card.models import CreditCardRecord
@pytest.fixture
def csv_row():
return b'2015-07-27,,IOF de "Tjmaxx $0142 Norwell Ma",14.05\n'
@pytest.fixture
def invalid_csv_row():
return b',... | Python | zaydzuhri_stack_edu_python |
function __init__ self pyclass ofwhat pname=none inorder=false inline=false mutable=true mixed=false mixed_aname=string _text **kw
begin
call __init__ self pname pyclass=pyclass keyword kw
set inorder = inorder
set inline = inline
set mutable = mutable
set mixed = mixed
set mixed_aname = none
if mixed is true
begin
set... | def __init__(self, pyclass, ofwhat, pname=None, inorder=False, inline=False,
mutable=True, mixed=False, mixed_aname='_text', **kw):
TypeCode.__init__(self, pname, pyclass=pyclass, **kw)
self.inorder = inorder
self.inline = inline
self.mutable = mutable
self.mixed = mixed
... | Python | nomic_cornstack_python_v1 |
comment encoding: UTF-8
comment Autor:Angel Roberto Pesado Bartolo, A01374942
comment Descripcion: Elaborar un algoritmo que pida al usuario las coordenadas de un punto y obtener el angulo y la magnitud.
comment A partir de aquí escribe tu programa
import math
set x = decimal input string Dame el valor en x:
set y = de... | #encoding: UTF-8
# Autor:Angel Roberto Pesado Bartolo, A01374942
# Descripcion: Elaborar un algoritmo que pida al usuario las coordenadas de un punto y obtener el angulo y la magnitud.
# A partir de aquí escribe tu programa
import math
x=float(input("Dame el valor en x: "))
y=float(input("Dame el valor ... | Python | zaydzuhri_stack_edu_python |
function register_model_architecture model_name arch_name
begin
function register_model_arch_fn fn
begin
if model_name not in MODEL_REGISTRY
begin
raise call ValueError format string Cannot register model architecture for unknown model type ({}) model_name
end
if arch_name in ARCH_MODEL_REGISTRY
begin
raise call ValueE... | def register_model_architecture(model_name, arch_name):
def register_model_arch_fn(fn):
if model_name not in MODEL_REGISTRY:
raise ValueError('Cannot register model architecture for unknown model type ({})'.format(model_name))
if arch_name in ARCH_MODEL_REGISTRY:
raise Value... | Python | nomic_cornstack_python_v1 |
function recurrence self
begin
return get pulumi self string recurrence
end function | def recurrence(self) -> pulumi.Input[str]:
return pulumi.get(self, "recurrence") | Python | nomic_cornstack_python_v1 |
import os
from glob import glob
import managers.dataset_manager as dmng
from commons import Commons
from train import train_nn , train_svm , predict , evaluate_model , kfold_nn , kfold_svm
import numpy as np
function cls
begin
call system if expression name == string nt then string cls else string clear
end function
fu... | import os
from glob import glob
import managers.dataset_manager as dmng
from commons import Commons
from train import train_nn, train_svm, predict, evaluate_model, kfold_nn, kfold_svm
import numpy as np
def cls():
os.system('cls' if os.name == 'nt' else 'clear')
def initialize_dataset():
dmng.initialize()
... | Python | zaydzuhri_stack_edu_python |
comment vim: ts=4:sw=4:sts=4:et
comment -*- coding:utf-8 -*-
import os
import json
import pkg_resources
set resource_package = __name__
class SensitiveTree extends object
begin
string {'key': {'child_key':{'child_key1': {'is_end': true}}, 'is_end': false}, 'is_end': false}
function __init__ self tree_types=list string ... | # vim: ts=4:sw=4:sts=4:et
# -*- coding:utf-8 -*-
import os
import json
import pkg_resources
resource_package = __name__
class SensitiveTree(object):
"""
{'key': {'child_key':{'child_key1': {'is_end': true}},
'is_end': false}, 'is_end': false}
"""
def __init__(self, tree_typ... | Python | zaydzuhri_stack_edu_python |
function parse_xdot_data self data
begin
string Parses xdot data and returns the associated components.
set parser = parser
comment if pyparsing_version >= "1.2":
comment parser.parseWithTabs()
if data
begin
return call parseString data
end
else
begin
return list
end
end function | def parse_xdot_data(self, data):
""" Parses xdot data and returns the associated components. """
parser = self.parser
# if pyparsing_version >= "1.2":
# parser.parseWithTabs()
if data:
return parser.parseString(data)
else:
return [] | Python | jtatman_500k |
import importlib
import os
from routersploit.core.exploit import print_error
from routersploit.core.exploit.exceptions import RoutersploitException
from routersploit.core.exploit.utils import humanize_path
from routersploit.extsploit.settings import ENGINE_DIR , SAVE_DIR
function index_modules modules_directory
begin
s... | import importlib
import os
from routersploit.core.exploit import (
print_error
)
from routersploit.core.exploit.exceptions import RoutersploitException
from routersploit.core.exploit.utils import humanize_path
from routersploit.extsploit.settings import ENGINE_DIR, SAVE_DIR
def index_modules(modules_directory: s... | Python | zaydzuhri_stack_edu_python |
from leetcode26 import Solution
set sln = call Solution
function test_case0
begin
set nums = list 1 1 2
assert list 1 2 == nums at slice : call removeDuplicates nums :
end function
function test_case1
begin
set nums = list 0 0 1 1 1 2 2 3 3 4
assert list 0 1 2 3 4 == nums at slice : call removeDuplicates nums :
end... | from leetcode26 import Solution
sln = Solution()
def test_case0():
nums = [1, 1, 2]
assert [1, 2] == nums[:sln.removeDuplicates(nums)]
def test_case1():
nums = [0, 0, 1, 1, 1, 2, 2, 3, 3, 4]
assert [0, 1, 2, 3, 4] == nums[:sln.removeDuplicates(nums)]
def test_case2():
nums = [-1, 0, 0, 0, 0, ... | Python | zaydzuhri_stack_edu_python |
function _frequency_and_multiplier freq_type
begin
set multiplier = 1
if freq_type == 5
begin
set freq_type = 3
end
return tuple freq_type multiplier
end function | def _frequency_and_multiplier(freq_type):
multiplier = 1
if freq_type == 5:
freq_type = 3
return freq_type, multiplier | Python | nomic_cornstack_python_v1 |
comment utilização desta feature em: "Functional discrimination of membrane proteins using machine learning techniques"
function create_aminoacid_occurrence data
begin
set data = data
set FEATURES = array tuple string Alanine-A string Arginine-R string Asparagine-N string Aspartiv Acid-D string Cysteine-C string Gluman... | def create_aminoacid_occurrence(data): #utilização desta feature em: "Functional discrimination of membrane proteins using machine learning techniques"
data=data
FEATURES=np.array(("Alanine-A","Arginine-R","Asparagine-N","Aspartiv Acid-D","Cysteine-C","Glumanine-Q",
"Glutamic acid-E","... | Python | nomic_cornstack_python_v1 |
import requests
import urllib
import json
set access_token = string Your Access Token
function get_page_data page_id
begin
set count = 0
set url = string https://graph.facebook.com/ + string page_id + string /feed?limit=100&access.token= + access_token
set data = get requests url
set response = loads text
comment Print... | import requests
import urllib
import json
access_token='Your Access Token'
def get_page_data(page_id):
count=0
url='https://graph.facebook.com/'+str(page_id)+'/feed?limit=100&access.token='+access_token
data=requests.get(url)
response=json.loads(data.text)
#Prints all messages of posts.
for post in response['data... | Python | zaydzuhri_stack_edu_python |
function forwards apps schema_editor
begin
set Event = call get_model string spectator_events string Event
set Work = call get_model string spectator_events string Work
set WorkRole = call get_model string spectator_events string WorkRole
set WorkSelection = call get_model string spectator_events string WorkSelection
f... | def forwards(apps, schema_editor):
Event = apps.get_model("spectator_events", "Event")
Work = apps.get_model("spectator_events", "Work")
WorkRole = apps.get_model("spectator_events", "WorkRole")
WorkSelection = apps.get_model("spectator_events", "WorkSelection")
for event in Event.objects.filter(ki... | Python | nomic_cornstack_python_v1 |
function __getattr__ self attrib
begin
raise call NotImplementedError string This function can only be used in an Azure Synapse Spark environment.
end function | def __getattr__(self, attrib):
raise NotImplementedError(
"This function can only be used in an Azure Synapse Spark environment."
) | Python | nomic_cornstack_python_v1 |
function _read_bytes_to_framed_body self b
begin
string Reads the requested number of bytes from source to a streaming framed message body. :param int b: Number of bytes to read :returns: Bytes read from source stream, encrypted, and serialized :rtype: bytes
debug string collecting %d bytes b
set _b = b
if b > 0
begin
... | def _read_bytes_to_framed_body(self, b):
"""Reads the requested number of bytes from source to a streaming framed message body.
:param int b: Number of bytes to read
:returns: Bytes read from source stream, encrypted, and serialized
:rtype: bytes
"""
_LOGGER.debug("colle... | Python | jtatman_500k |
comment -*- coding: utf-8 -*-
comment Wechat.py
import os
from wxpy import *
class Wechat
begin
string 微信处理类 对微信的消息进行处理，分析并作出回应
function __init__ self group_name admin_name
begin
comment 类被实例化的时候即对机器人实例化
set bot = call Bot
comment 指定群聊名
set group_name = group_name
comment 管理员微信名
set admin_name = admin_name
comment 过滤后的... | # -*- coding: utf-8 -*-
# Wechat.py
import os
from wxpy import *
class Wechat:
"""
微信处理类
对微信的消息进行处理，分析并作出回应
"""
def __init__(self, group_name, admin_name):
self.bot = Bot() # 类被实例化的时候即对机器人实例化
self.group_name = group_name # 指定群聊名
self.admin_name = admin_name # 管理员微信名
... | Python | zaydzuhri_stack_edu_python |
function backTrack assignment csp domain method=string natural
begin
comment assignment的定义:dict index=color
comment backTrack:通过递归，对assignment做尝试赋值并AC-3检查，保存副本（浪费空间，但是作为练习够用），失败则回复副本.
comment domain:当前domain assignment:当前赋值位置
comment csp:问题描述(static)
comment method:选择下一个变量采用的方法
if length assignment == length csp
begin
... | def backTrack(assignment, csp, domain, method='natural'):
# assignment的定义:dict index=color
# backTrack:通过递归，对assignment做尝试赋值并AC-3检查，保存副本（浪费空间，但是作为练习够用），失败则回复副本.
# domain:当前domain assignment:当前赋值位置
# csp:问题描述(static)
# method:选择下一个变量采用的方法
if len(assignment) == len(csp):
return assignment
... | Python | zaydzuhri_stack_edu_python |
string 1) Start from the snap file which contains only particles along the line of sight 2) Read in the caesar list of satellite galaxies and their positions and sizes 3) For each satellite, get the particles in the snap file which are associated with the satellite 4) Get unique particle ids, save out particle ids file... | """
1) Start from the snap file which contains only particles along the line of sight
2) Read in the caesar list of satellite galaxies and their positions and sizes
3) For each satellite, get the particles in the snap file which are associated with the satellite
4) Get unique particle ids, save out particle ids file
"... | Python | zaydzuhri_stack_edu_python |
import pygame as pg
class Butterfly extends object
begin
set colors = list string blue string red string green string yellow string pink
set velocities = set comprehension tuple x y for x in tuple - 1 0 1 for y in tuple - 1 0 1
function __init__ self rect
begin
set color = call chocie colors
set images = cycle list GFX... | import pygame as pg
class Butterfly(object):
colors = ["blue", "red", "green", "yellow", "pink"]
velocities = {(x, y) for x in (-1, 0, 1) for y in (-1, 0, 1)}
def __init__(self, rect):
self.color = chocie(self.colors)
self.images = cycle([prepare.GFX["butterfly{}{}".format(self.color,... | Python | zaydzuhri_stack_edu_python |
function table x
begin
set c = counter x
return tuple list c list values c
end function | def table(x):
c = Counter(x)
return list(c), list(c.values()) | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Created on Wed Nov 6 15:17:21 2019 @author: benja
import os
import pandas as pd
import re
from author_work import aut_cleaner
import utils
import numpy as np
comment %%
set topics = call load_topics
function parse_ref string
begin
string Parser for reference sub-strings. Returns a p... | # -*- coding: utf-8 -*-
"""
Created on Wed Nov 6 15:17:21 2019
@author: benja
"""
import os
import pandas as pd
import re
from author_work import aut_cleaner
import utils
import numpy as np
#%%
topics= utils.load_topics()
def parse_ref(string):
'''Parser for reference sub-strings.
Re... | Python | zaydzuhri_stack_edu_python |
function mdcext a b
begin
set resto = a % b
set q = a // b
if resto == 0
begin
return tuple 0 1 b
end
set tuple x y mdc = call mdcext b resto
return tuple y x - q * y mdc
end function
set tuple x y mdc = call mdcext a b
print mdc x y | def mdcext(a, b):
resto = a%b
q = a//b
if resto==0:
return (0,1,b)
x,y,mdc = mdcext(b,resto)
return (y,x-q*y,mdc)
x,y,mdc = mdcext(a,b)
print (mdc,x,y) | Python | zaydzuhri_stack_edu_python |
function waiting_approval_loan self
begin
call ensure_one
set due_date = call from_string start_date + time delta duration * 365 / 12
set state = string open
end function | def waiting_approval_loan(self):
self.ensure_one()
self.due_date = fields.Datetime.from_string(self.start_date) + timedelta(self.duration * 365 / 12)
self.state = 'open' | Python | nomic_cornstack_python_v1 |
function game_score self
begin
set score = call quantize call Decimal string 0.001
return if expression score > 0 then score else 0
end function | def game_score(self):
score = self.score.quantize(Decimal('0.001'))
return score if score > 0 else 0 | Python | nomic_cornstack_python_v1 |
class TicTacToe
begin
function __init__ self curr_player
begin
set board = dict 1 string ; 2 string ; 3 string ; 4 string ; 5 string ; 6 string ; 7 string ; 8 string ; 9 string
set curr_player = curr_player
end function
function display_board self
begin
comment representing the board
print board at 1 + string ... | class TicTacToe():
def __init__(self, curr_player):
self.board = {1: "", 2: "", 3: "", 4: "", 5: "", 6: "", 7: "", 8: "", 9: ""}
self.curr_player = curr_player
def display_board(self):
#representing the board
print(self.board[1] + " | " + self.board[2] + " | " + self.board[3])
print(self.board[4] + " | " +... | Python | zaydzuhri_stack_edu_python |
function __getitem__ self k
begin
set it = call __getitem__ self k
if it != none
begin
return it at 1
end
else
begin
return it
end
end function | def __getitem__(self, k):
it = Historial.__getitem__(self, k)
if it != None:
return it[1]
else:
return it | Python | nomic_cornstack_python_v1 |
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